• 제목/요약/키워드: critical crack -tip opening displacement

검색결과 16건 처리시간 0.019초

피로균열성장의 유한요소 시뮬레이션: Paris 법칙의 지수 m의 결정 (Finite Element Simulation of Fatigue Crack Growth: Determination of Exponent m in Paris Law)

  • 주석재;유총호
    • 대한기계학회논문집A
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    • 제36권7호
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    • pp.713-721
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    • 2012
  • 피로균열성장을 유한요소 시뮬레이션하였다. 인장시험으로 얻는 기계적 성질만을 사용하여 피로균열성장거동을 예측하려고 하였다. 유한요소해석 결과 균열선단 부근 절점의 변위의 변화를 살펴 임계균열개구변위를 결정하였다. 균열선단 절점을 분리하여 균열성장을 시뮬레이션하였다. Paris 법칙의 지수를 결정하여 이미 발표된 값과 비교하였다. 균열닫힘을 고려한 유효 응력확대계수에 관하여 그렸을 때 더 일관성이 있는 결과를 얻었다.

파괴역학적 관점에서의 적정 필렛 형상에 관한 연구 (A Study on the Proper Fillet Shape in Fracture Mechanical Aspect)

  • 김철;양원호;조명래
    • 한국자동차공학회논문집
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    • 제7권7호
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    • pp.214-220
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    • 1999
  • In order to use effectively a machinery part with fillet, it is necessary to determine a proper fillet shape in design step, Study of such problem by fracture mechanical criterion is rare. So, this paper focuses on the design of fillet radius in fracture mechanical aspect. Finite element method was used to obtain crack tip stress intensity factor. Stress intensity factor was calculated by COD(crack opening displacement0method proposed by Ingraffea and Manu. The parameter used in this study are thickness ration, filet radium and crack length . If fillet radius increase , crack propagation may be accelerated. Critical crack length is inversely proportional to fillet radius.

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Numerical simulation of fracture and damage behaviour of concrete at different ages

  • Jin, Nanguo;Tian, Ye;Jin, Xianyu
    • Computers and Concrete
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    • 제4권3호
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    • pp.221-241
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    • 2007
  • Based on the experiment results, the damage and fracture behavior of concrete at the ages of 1d, 2d, 7d and 28d, in three-point bending and uniaxial tensile tests, were simulated with a finite element program, ABAQUS. The critical stress intensity factor $K_{IC}^s$ and the critical crack tip opening displacement ($CTOD_C$) of concrete were calculated with effective-elastic crack approach for the three-point bending test of grade C30 concrete. Based on the crack band model, a bilinear strain-softening curve was derived to simulate the LOAD-CMOD curves and LOAD-Displacement curves. In numerical analysis of the uniaxial tension test of concrete of grade C40, the damage and fracture mechanics were combined. The smeared cracking model coupling with damaged variable was adopted to evaluate the onset and development of microcracking of uniaxial tensile specimen. The uniaxial tension test was simulated by invoking the damage plastic model which took both damage and plasticity as inner variables with user subroutines. All the numerical simulated results show good agreement with the experimental results.

Utilization of support vector machine for prediction of fracture parameters of concrete

  • Samui, Pijush;Kim, Dookie
    • Computers and Concrete
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    • 제9권3호
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    • pp.215-226
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    • 2012
  • This article employs Support Vector Machine (SVM) for determination of fracture parameters critical stress intensity factor ($K^s_{Ic}$) and the critical crack tip opening displacement ($CTOD_c$) of concrete. SVM that is firmly based on the theory of statistical learning theory, uses regression technique by introducing ${\varepsilon}$-insensitive loss function has been adopted. The results are compared with a widely used Artificial Neural Network (ANN) model. Equations have been also developed for prediction of $K^s_{Ic}$ and $CTOD_c$. A sensitivity analysis has been also performed to investigate the importance of the input parameters. The results of this study show that the developed SVM is a robust model for determination of $K^s_{Ic}$ and $CTOD_c$ of concrete.

Model of Least Square Support Vector Machine (LSSVM) for Prediction of Fracture Parameters of Concrete

  • Kulkrni, Kallyan S.;Kim, Doo-Kie;Sekar, S.K.;Samui, Pijush
    • International Journal of Concrete Structures and Materials
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    • 제5권1호
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    • pp.29-33
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    • 2011
  • This article employs Least Square Support Vector Machine (LSSVM) for determination of fracture parameters of concrete: critical stress intensity factor ($K_{Ic}^s$) and the critical crack tip opening displacement ($CTOD_c$). LSSVM that is firmly based on the theory of statistical learning theory uses regression technique. The results are compared with a widely used Artificial Neural Network (ANN) Models of LSSVM have been developed for prediction of $K_{Ic}^s$ and $CTOD_c$, and then a sensitivity analysis has been performed to investigate the importance of the input parameters. Equations have been also developed for determination of $K_{Ic}^s$ and $CTOD_c$. The developed LSSVM also gives error bar. The results show that the developed model of LSSVM is very predictable in order to determine fracture parameters of concrete.